1 citations · 2 across the 8 of their papers we have counts for
9 papers
Efficient Nash Equilibrium Computation for Cybersecurity Games
Michael Lanier, David Farmer, Yevgeniy Vorobeychik
Game-theoretic analyses of cyber defence often compute equilibria of games whose payoffs exist only as the output of a simulator. Iterative equilibrium-finding methods grow a set o…
Learned Neighbor Trust for Collaborative Deployment in Model-Agnostic Decentralized Learning
Michael Lanier, Luise Ge, Sastry Kompella +1
Many decentralized distillation methods are designed around training-time coordination, yet deploy each node in isolation even when more capable neighbors remain available at infer…
A Scalable Approach to Solving Simulation-Based Network Security Games
Michael Lanier, Yevgeniy Vorobeychik
We introduce MetaDOAR, a lightweight meta-controller that augments the Double Oracle / PSRO paradigm with a learned, partition-aware filtering layer and Q-value caching to enable s…
CyGym: A Simulation-Based Game-Theoretic Analysis Framework for Cybersecurity
Michael Lanier, Yevgeniy Vorobeychik
We introduce a novel cybersecurity encounter simulator between a network defender and an attacker designed to facilitate game-theoretic modeling and analysis while maintaining many…
Learning Policy Committees for Effective Personalization in MDPs with Diverse Tasks
Luise Ge, Michael Lanier, Anindya Sarkar +3
Many dynamic decision problems, such as robotic control, involve a series of tasks, many of which are unknown at training time. Typical approaches for these problems, such as multi…
Attacks on Node Attributes in Graph Neural Networks
Ying Xu, Michael Lanier, Anindya Sarkar +1
Graphs are commonly used to model complex networks prevalent in modern social media and literacy applications. Our research investigates the vulnerability of these graphs through t…
Learning Interpretable Policies in Hindsight-Observable POMDPs through Partially Supervised Reinforcement Learning
Michael Lanier, Ying Xu, Nathan Jacobs +2
Deep reinforcement learning has demonstrated remarkable achievements across diverse domains such as video games, robotic control, autonomous driving, and drug discovery. Common met…
Eroding Trust In Aerial Imagery: Comprehensive Analysis and Evaluation Of Adversarial Attacks In Geospatial Systems
Michael Lanier, Aayush Dhakal, Zhexiao Xiong +3
In critical operations where aerial imagery plays an essential role, the integrity and trustworthiness of data are paramount. The emergence of adversarial attacks, particularly tho…
A Visual Active Search Framework for Geospatial Exploration
Anindya Sarkar, Michael Lanier, Scott Alfeld +4
Many problems can be viewed as forms of geospatial search aided by aerial imagery, with examples ranging from detecting poaching activity to human trafficking. We model this class…